Government
Education

A national data strategy for apprenticeships.
Funding and policy, backed by evidence.

A data strategy for technical education and apprenticeships that defines the KPIs, analytics and reporting a government department needs to see what’s working and fund it accordingly.

National data strategy
for apprenticeships
KPIs defined for policy
and funding decisions
UK-wide performance
tracking
Analytics and reporting systems
recommended

Client

A UK government department responsible for skills and training, overseeing technical education and apprenticeships nationally.

Goal

To develop a comprehensive data strategy that improves how technical education and apprenticeships are planned and delivered.

No data strategy meant no consistent way to judge what was working.

The department’s technical education and apprenticeship programmes shape funding, curriculum and delivery decisions across the country, but there was no data strategy underpinning any of it. Data wasn’t being harnessed effectively enough to inform those decisions.

Without agreed metrics, there was no consistent way to evaluate an apprenticeship scheme, and no clear line between the data and the government’s broader goals and priorities.

Three constraints were non-negotiable:

  • No strategy for harnessing data to inform funding and curriculum decisions
  • No agreed KPIs to evaluate apprenticeship schemes
  • No clear alignment between data and government-wide priorities

One strategy. Agreed KPIs. A clear line to policy.

We developed a data strategy aligned with the department’s long-term goals for improving the quality and reach of apprenticeships, setting out how data should be used to support decisions on funding, curriculum and delivery.

The point of a data strategy isn’t the data. It’s the funding and curriculum decisions it should be able to change.

At the centre of it were the KPIs: key metrics defined specifically to evaluate apprenticeship schemes and feed directly into future policy, giving the department a consistent basis for judging performance.

We recommended the advanced analytics and reporting systems needed to put the strategy into practice, so the data collected could actually be turned into decisions rather than sitting in a report.

Apprenticeship programmes now run on evidence, not guesswork.

Faster reporting Data collection and reporting processes now run more efficiently, giving the department a clearer view of how apprenticeship programmes are performing.
Sharper funding calls Decisions on apprenticeship funding and curriculum development are now backed by data.
KPIs in place Agreed metrics let the department evaluate apprenticeship schemes consistently and inform future policy.
UK-wide tracking Performance metrics are tracked more effectively, improving outcomes for apprenticeship programmes across the UK.

The strategy turned apprenticeship data from a reporting afterthought into the basis for decisions on funding, curriculum and delivery. With KPIs defined and the reporting to support them, the department can now track what’s working and adjust policy accordingly, across apprenticeship programmes throughout the UK.

* Case studies reflect work undertaken by our Heads of AI either during their tenure with Head of AI or in prior roles before they were part of the Head of AI network; they are provided for illustrative purposes only and are based on conversations with our Heads of AI.

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*Case studies reflect work undertaken by our Heads of AI either during their tenure with Head of AI or in prior roles before they were part of the Head of AI network; they are provided for illustrative purposes only and are based on conversations with our Heads of AI.